Several ML techniques such as polynomial fitting [1]}, Gaussian processes [2]}, spectral neighbor analysis [3]}, modified Shepard interpolation [4]}, moment tensor potentials [5]}, interpolating moving least squares [6]}, support vector machines [7]}, random forests [8]}, artificial neural networks (ANNs) [9]}, [10]}, [11]}, [12]} or symbolic regression (SR) [13]} have been successfully employed for a variety of systems.
